功率变流器模型预测控制中的加权因子设计

2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) Pub Date : 2019-11-01 DOI:10.1109/CHILECON47746.2019.8988109

R. Pérez-Guzmán, M. Rivera, P. Wheeler

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引用次数: 1

摘要

基于模型的预测控制是电力变换器中一种重要的多目标控制策略，但其设计必须合理。本文研究了改进基于模型的预测控制中成本函数的不同方法。为此，本文介绍了调整成本函数中权重因子的过程、所有相关元素和一些例子，说明了方程中每个项的影响。对成本函数进行了表征和仿真，以验证工作方法的有效性和本研究提出的主张。研究发现，当存在多个目标时，基于模型的预测控制是一种强大的替代方法，可以有效地将多个目标包含在成本函数中。然而，有必要研究每一项的理想值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Weighting Factor Design in Model Predictive Control for Power Converters

Model-based predictive control is an important multi-objective control strategy in power converters, but it must be properly designed. This research shows different alternatives to improve the cost function in model-based predictive control. For this purpose, the procedure for adjusting the weight factors in the cost functions, all relevant elements and some examples that demonstrate the influence of each term in the equation is presented. The cost functions are characterized and simulated to verify the effectiveness of the working method and the claims made in this investigation. It was found that modelbased predictive control is a powerful alternative when there are multiple objectives, which can be included efficiently within a cost function. However, it is necessary to investigate the ideal value of each of these terms.

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来源期刊

2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

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